calc_neg_log_lik_cont: Calculate the negative log-likelihood for a continuous model
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package
Description
Usage
Arguments
Value
View source: R/univariate_models.R
Description
Calculate the negative log-likelihood for a continuous model
Usage
1
calc_neg_log_lik_cont(th_w, x, w, mod_spec, tf_cat_vect = NA)
Arguments
th_w
The continuous parameter vector [c,kappa]
x
The vector of independent variables
w
The vector of continuous responses
mod_spec
The model specification
tf_cat_vect
(Optional) The transformation category vector to transform
th_w to a constrained representation
Value
The negative log-likelihood
MichaelHoltonPrice/yada documentation built on Sept. 19, 2021, 11:27 p.m.
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Description Usage Arguments Value
View source: R/univariate_models.R
Description
Calculate the negative log-likelihood for a continuous model
Usage
1 | calc_neg_log_lik_cont(th_w, x, w, mod_spec, tf_cat_vect = NA)
|
Arguments
th_w |
The continuous parameter vector [c,kappa] |
x |
The vector of independent variables |
w |
The vector of continuous responses |
mod_spec |
The model specification |
tf_cat_vect |
(Optional) The transformation category vector to transform th_w to a constrained representation |
Value
The negative log-likelihood
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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